Connie Kou

Computer Science · Physical Sciences

4h-index142citations15works0.02yr avg
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Research Topics

Gaussian Processes and Bayesian Inference(5), Machine Learning and ELM(4), Neural Networks and Applications(3), Generative Adversarial Networks and Image Synthesis(3), Anomaly Detection Techniques and Applications(3)

Publications15 total

A Unified Strategy for an Agentic Artificial Intelligence (AI)-assisted Clinical Decision Support (CDS) System for Primary Care: A Mixed-Method Study in Singapore (Preprint)
2025Open Access
MMBench: The Match Making Benchmark
2023· 8 cited
Solving the inverse problem of time independent Fokker–Planck equation with a self supervised neural network method
Scientific Reports·2021· 4 citedOpen Access
Self-supervised Learning Method to Solve the Inverse Problem of Fokker-Planck Equation
Research Square (Research Square)·2021Open Access
Enhancing Transformation-Based Defenses Against Adversarial Attacks with a Distribution Classifier
National University of Singapore·2020· 17 cited
Theoretical and experimental analysis on the generalizability of distribution regression network
Neurocomputing·2020· 2 cited
Fence GAN: Towards Better Anomaly Detection
2019· 97 cited
Enhancing Transformation-based Defenses using a Distribution Classifier
arXiv (Cornell University)·2019Open Access
A compact network learning model for distribution regression
Neural Networks·2018· 11 cited
Theoretical and Experimental Analysis on the Generalizability of Distribution Regression Network
arXiv (Cornell University)·2018Open Access
Predicting time-varying distributions with limited training data
arXiv (Cornell University)·2018· 1 citedOpen Access
An Efficient Network for Predicting Time-Varying Distributions.
arXiv (Cornell University)·2018Open Access
A Compact Network Learning Model for Distribution Regression
arXiv (Cornell University)·2018· 1 citedOpen Access
Distribution Regression Network.
2018· 1 cited
Massively parallelized support vector machines based on GPU-accelerated multiplicative updates
2014

Frequent Co-authors

Hwee Kuan Lee(12), Teck Khim Ng(9), Jorge L. C. Sanz(4), Ee‐Chien Chang(2), Kun Hee Park(2), Phuc Cuong Ngo(1), Amadeus Aristo Winarto(1), Sojeong Park(1), Farhan Akram(1), Yongsheng Liu(1), Yanxing Qi(1), Jiangwei Zhang(1), Qiaolin Chen(1), Wei Liu(1), Zhaohui Huang(1), Dinesh Visva Gunasekeran(1), Kai En Chan(1), C.Y. Tan(1), Cheng-Yaw Low(1), Choon Kit Leong(1)